Cassandra vs Couchbase Enterprise comparison

Apache and Couchbase are both solutions in the NoSQL Databases category. Apache is ranked #6 with an average rating of 8.2, while Couchbase is ranked #4 with an average rating of 8.3. Apache holds a 9.7% mindshare in ND, compared to Couchbase’s 8.7% mindshare. Additionally, 91% of Apache users are willing to recommend the solution, compared to 100% of Couchbase users who would recommend it.

Cassandra

Read 24 Cassandra reviews

2,172 Views
1,651 Comparison Views

91% willing to recommend

Couchbase Enterprise

Read 18 Couchbase Enterprise reviews

1,948 Views
1,929 Comparison Views

100% willing to recommend

Cassandra

Couchbase Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 31, 2025

Cassandra and Couchbase Enterprise compete in the NoSQL database market. Couchbase Enterprise often takes the lead thanks to its extensive feature set, while Cassandra remains a top choice for scalability and handling high write loads.

Features: Cassandra is renowned for its distributed data management, offering robust scalability and fault tolerance ideal for high-throughput applications. Its architecture supports real-time data analytics and can handle substantial data volumes efficiently. Couchbase Enterprise provides an integrated cache, advanced query capabilities, and seamless mobile syncing, catering to real-time data processing needs and offline functionality.

Room for Improvement: Cassandra could benefit from simplification in deployment and management to reduce its operational complexity. Enhanced rich querying features and better integration with analytical tools could also improve its offering. Couchbase Enterprise may improve in scalability to match Cassandra's capabilities and could streamline its indexing processes for even quicker real-time updates. Additionally, further reducing its initial setup cost could expand its market appeal.

Ease of Deployment and Customer Service: Couchbase Enterprise excels in ease of deployment with a user-friendly interface and comprehensive documentation, simplifying setup and integration. It also provides extensive customer support with customizable service plans. Cassandra requires a more technical approach for deployment but benefits from a vast and active community that contributes to its support ecosystem.

Pricing and ROI: Cassandra attracts organizations prioritizing cost-effective scalability with a lower initial setup cost, though its operational complexity can affect ROI if not managed well. Couchbase Enterprise has a higher setup cost but justifies this with its advanced features that enhance performance and potentially offer a higher long-term ROI.

To learn more, read our detailed Cassandra vs. Couchbase Enterprise Report (Updated: July 2025).

Buyer's Guide

Cassandra vs. Couchbase Enterprise

July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Cassandra

Ranking in NoSQL Databases

6th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Vector Databases (14th)

Couchbase Enterprise

Ranking in NoSQL Databases

4th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the NoSQL Databases category, the mindshare of Cassandra is 9.7%, down from 13.4% compared to the previous year. The mindshare of Couchbase Enterprise is 8.7%, down from 12.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Himanshu Amodwala

Senior cloud solution architect at Microsoft

Well-equipped to handle a massive influx of data and billions of requests

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.

Read full review

Ravi_Singh

Manager at Tesco

Supports multiple data models and offers AI capabilities

With some of the operations, we used to face some challenges with scalability. Although it worked pretty well, in some scenarios, we noticed issues where the replications and the sharding were not happening correctly. In recent versions, we also faced some issues in terms of enabling advanced operations like FTS and vectors. Although it works pretty well, in some places, we do face challenges, especially on a heavy scale. I think all issues are being addressed in the latest version of Couchbase. The resources are not that good for Couchbase. The tool's documentation is pretty extensive, but if you go for any kind of courses or tutorials, there are very limited resources available. It also becomes a little bit challenging for new people to get onboard into it. MongoDB and other such open-source database tools perform really well as they're really widely adopted, and they have resources available to get you onboarded pretty quickly. I think that we do face some challenges with Couchbase, but luckily, we have the tool's enterprise version solution, so we get all the support from the product team.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

"A consistent solution."

"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"I am satisfied with the performance."

"The time series data was one of the best features along with auto publishing."

More Cassandra pros

"Sync Gateway is a great feature that supports the mobile application."

"The principal advantage of Couchbase is that we can have multiple database paradigms in the same product, without deploying multiple databases. We also like that it has lower latency, when compared to its competitor: Cassandra."

"I can input any kind of document into the solution and it is integrated using a dynamic API. This has been the most valuable aspect of using this solution."

"It is highly available for support and does not impact our operations significantly during failures."

"The most valuable feature of Couchbase is document indexing. It is better than MongoDB. Additionally, the solution is easy to use."

"The valuable features of Couchbase are the many documents and index types, and they made a lot of features available enabling us to use it as a complete solution for our needs."

"The main advantages were associated with it being a no SQL database. It helped us send out metrics or rewards to multiple players in our game at a very low latency."

"Investing in Couchbase has significantly lowered our operational costs and increased throughput, reducing costs by half and supporting around five times the non-peak user volume during peak hours."

More Couchbase Enterprise pros

Cons

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

"Interface is not user friendly."

"There could be more integration, and it could be more user-friendly."

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."

"The solution doesn't have joins between tables so you need other tools for that."

"Doesn't support a solution that can give aggregation."

"Cassandra could be more user-friendly like MongoDB."

"Fine-tuning was a bit of a challenge."

More Cassandra cons

"Couchbase could improve the design of the UI because it should be optimized for viewing statistics or a similar feature."

"Needs some capacity planning to deal with too much memory, CPUs and displays."

"The performance could be quicker and better, especially in the querying process."

"Overall as a tool, I see room for improvement in Couchbase in certain aspects."

"Although it worked pretty well, in some scenarios, we noticed issues where the replications and the sharding were not happening correctly."

"The platform's grouping features need improvement."

"The scripting language for this solution could be improved. A big selling point is that they're like SQL server but there is still quite a lot of missing functionality."

"It is very difficult to load the backup of the older version to the newer version."

More Couchbase Enterprise cons

Pricing and Cost Advice

"I use the tool's open-source version."

"I don't have the specific numbers on pricing, but it was fairly priced."

"We pay for a license."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"We are using the open-source version of Cassandra, the solution is free."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"I wouldn't say Couchbase offers good value for money."

"It seems very reasonable. It's a lot cheaper than Redis, but we've got an enterprise license. So, it's about normal. It's not outrageous in price as far as we've seen. From Couchbase, there's no additional fee as far as I'm aware, but when you're integrating, there's an additional fee because a lot of times, they don't have an integration stack."

"The price of this solution is better than some of the other competitors."

"I would rate this solution a nine out of ten for pricing as it is affordable."

"We estimate that it's not very expensive, however, the pricing that you can get from the account managers, e.g. the public pricing, could be a bit expensive."

"The licensing cost of Couchbase is quite expensive compared to other databases."

"It can range between 25,000 to 40,000 Euros per year depending on company requirements."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

13%

Comms Service Provider

Retailer

Financial Services Firm

17%

Computer Software Company

13%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Cassandra?

See all answers

What is your experience regarding pricing and costs for Cassandra?

We are using Cassandra locally and as open-source.

See all answers

What needs improvement with Cassandra?

While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be e...

See all answers

What needs improvement with Couchbase?

The main issue we keep facing from the past couple of years, observing other teams using Couchbase, is that whenever there is an upgrade, we see many issues with compatibility or nodes not intercon...

See all answers

What is your primary use case for Couchbase?

Basically we have clusters, Couchbase clusters, databases, and that is how we use Couchbase with XDCR. All the clusters are set up and then we use Couchbase. It is a complex application setup we us...

See all answers

What advice do you have for others considering Couchbase?

It is a good solution, but as every product needs improvement, this also needs some enhancement. It is a good product. I rate Couchbase seven out of ten.

See all answers

Comparisons

MongoDB Enterprise Advanced vs Cassandra

Compared 15% of the time

ClickHouse vs Cassandra

Compared 13% of the time

ScyllaDB vs Cassandra

Compared 8% of the time

InfluxDB vs Cassandra

Compared 6% of the time

Chroma vs Cassandra

Compared 6% of the time

More Cassandra Competitors

MongoDB Enterprise Advanced vs Couchbase Enterprise

Compared 29% of the time

ScyllaDB vs Couchbase Enterprise

Compared 18% of the time

Redis vs Couchbase Enterprise

Compared 13% of the time

Microsoft Azure Cosmos DB vs Couchbase Enterprise

Compared 4% of the time

Apache HBase vs Couchbase Enterprise

Compared 4% of the time

More Couchbase Enterprise Competitors

Product Reports

Buyer's Guide

Cassandra

July 2025

Download Cassandra product report

Buyer's Guide

Couchbase Enterprise

July 2025

Download Couchbase Enterprise product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

Couchbase Enterprise offers powerful data management capabilities with features like horizontal scalability, ease of use, and flexible tools for business applications. Designed for high performance and reliability, it supports multi-master capability and low latency, making it ideal for dynamic environments.

Designed for businesses needing crucial data management, Couchbase Enterprise offers advanced indexing, analytics engines, and efficient storage for performance enhancement. It provides flexibility with data types, robust data sync, and supports a dynamic API for seamless integration. Its intuitive query language simplifies operations, ensuring businesses navigate effortlessly while enjoying high availability and extensive features. Despite this, challenges exist in areas like manual failover processes, complex upgrades, and UI limitations, necessitating enhancements in concurrency, integration, and security features. Performance issues on certain platforms add to the need for improved documentation and support.

What are Couchbase Enterprise’s most important features?

Horizontal Scalability: Allows easy scaling across different servers to handle large data volumes.
Advanced Analytics Engine: Drives insightful business decisions by processing complex data rapidly.
Efficient Data Storage: Enhances system performance by optimizing data organization and retrieval.
Multi-Master Capability: Ensures data consistency and reliability across several nodes.
Dynamic API Integration: Facilitates seamless integration with other applications for extended functionality.

What benefits or ROI should users look for in reviews?

Performance Efficiency: Low latency capabilities ensure smooth operations for business applications.
High Availability: Robust infrastructure supports uninterrupted service and minimal downtime.
Data Flexibility: Supports diverse data types, enhancing adaptability to business needs.
Real-Time Data Replication: Ensures timely data updates across multiple platforms, enhancing workflow.
Reliable Customer Support: Provides technical assistance, improving user experience and system utilization.

Couchbase Enterprise is deployed across industries for its excellent data handling capabilities. It empowers telemedicine, e-commerce, gaming, and telecommunications sectors by offering efficient data link utilization, caching, and logging. Some companies leverage its real-time data replication with Elasticsearch for high-performance operational needs, while others benefit from its capabilities in managing reads and writes in iGaming. Retail industries use its document-based storage for structured inventory management, and cloud migrations are simplified with support from Capella.

Couchbase

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

Amadeus, Cisco, Comcast, LinkedIn, GE

Buyer's Guide

Cassandra vs. Couchbase Enterprise

July 2025

Free Report: Cassandra vs. Couchbase Enterprise

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